[HTML][HTML] Stability improvement of the PSS-connected power system network with ensemble machine learning tool

MS Shahriar, M Shafiullah, MIH Pathan, YA Sha'aban… - Energy Reports, 2022 - Elsevier
Stability is a primary requirement of the electrical power system for its flawless, secure, and
economical operation. Low-frequency oscillations (LFOs), commonly seen in interconnected …

Levenberg–Marquardt neural network to estimate UPFC-coordinated PSS parameters to enhance power system stability

MJ Rana, MS Shahriar, M Shafiullah - Neural Computing and Applications, 2019 - Springer
Due to the presence of weak tie line interconnections, small signal oscillations are created in
power system networks. Damping out these oscillations is one of the most crucial issues to …

Low-frequency oscillation damping in the electric network through the optimal design of UPFC coordinated PSS employing MGGP

M Shafiullah, MJ Rana, MS Shahriar, MH Zahir - Measurement, 2019 - Elsevier
The coordination of flexible AC transmission systems (FACTS) with power system stabilizers
(PSS) can significantly enhance the overall network stability by damping out the low …

Improvement of low-frequency oscillation damping in power systems using a deep learning technique

MS Hossain, M Shafiullah, MS Shahriar… - … Applications of Artificial …, 2024 - Elsevier
Over the last few years, machine learning tools have significantly progressed and attracted
extensive applications in many parts of contemporary life. The power sector is one of the …

Real-time solution of PSS parameter tuning by GA-ANFIS in stabilizing the electrical power system

M Shafiullah, MIH Pathan, MS Shahriar, A Ali… - Arabian Journal for …, 2023 - Springer
The power system industry is one of the pioneers in implementing machine learning (ML)
methods which have acquired a lot of attention across various facets of contemporary life …

Stability enhancement of PSS-UPFC installed power system by support vector regression

MS Shahriar, M Shafiullah, MJ Rana - Electrical Engineering, 2018 - Springer
Ensuring the transient stability of the power system networks is one of the prime challenges
in the highly interconnected power systems. Though the low-frequency oscillations are not …

Comparative analysis of machine learning approaches in enhancing power system stability

MIH Pathan, MS Shahriar, MM Rahman… - … ‐based Smart Power …, 2023 - Wiley Online Library
The low‐frequency oscillations (LFOs) are usually considered as the slow‐poisoning issues
for electric power networks as they can cause system blackout if not resolved in time …

Neurogenetic approach for real-time damping of low-frequency oscillations in electric networks

MS Shahriar, M Shafiullah, MJ Rana, A Ali… - Computers & Electrical …, 2020 - Elsevier
Low-frequency oscillations should be dealt with extreme care for secure electric networks.
This paper tunes the critical parameters of power system stabilizers in three different electric …

Real-time LFO damping enhancement in electric networks employing PSO optimized ANFIS

MIH Pathan, MJ Rana, MS Shahriar, M Shafiullah… - Inventions, 2020 - mdpi.com
In recent years, machine learning (ML) tools have gained tremendous momentum and
received wide-spread attention in different segments of modern-day life. As part of digital …

Extreme learning machine for real-time damping of LFO in power system networks

M Shafiullah, MJ Rana, MS Shahriar… - Electrical …, 2021 - Springer
This article proposes a real-time power system stabilizers (PSS) parameter optimization
technique employing extreme learning machine (ELM) to enhance overall system stability by …